Dataset Versions

v3

2023-10-04 4:16pm

Generated on Oct 4, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
1428Images
Valid Set 8%
136Images
Test Set 4%
68Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 400x400

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 28% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%